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Insights
Insights onHealthcare
Practical engineering writing on healthcare interoperability, applied AI, data platforms and product delivery — from the teams that build and run these systems in production.
The X12 270/271 specification is deceptively simple on paper. In practice, payer-specific companion guides and non-standard EB segment usage mean you need a per-payer...
Healthcare CRMs have a unique constraint: all lead data is potentially PHI under HIPAA, which rules out most off-the-shelf CRM platforms unless they sign a BAA and support the...
There is no single price tag for a healthcare app. A simple telehealth MVP and a multi-hospital platform live in completely different budget universes — plan in ranges, not point...
The healthcare landscape is undergoing a fundamental transformation as digital pharmacy ecosystems emerge to address critical challenges in medication access, cost containment...
HL7 v2 and FHIR are not competing standards -- they solve different problems. Most real-world integrations involve both, and the design challenge is building a translation layer...
Clinical questionnaire design is a UX problem as much as a clinical one. Completion rates are directly tied to form length and delivery channel -- keeping the form under 4 minutes...
FHIR R4 resource profiling -- constraining and extending base resources for your specific use case -- is where most of the design effort goes. US Core profiles provide a solid...
Insurance EOBs arrive in dozens of inconsistent formats — PDFs, 835 EDI files, scanned images — and payers routinely reorder line items, bundle codes differently, and apply rates...
Healthcare workflows span multiple bounded contexts — scheduling, insurance, clinical records, billing — that cannot be wrapped in a single database transaction. Event sourcing...
The hardest part of building a digital impression pipeline is not the 3D data processing — it is normalizing across scanner brands. Six different intraoral scanners export in STL...
For tabular clinical data with moderate dataset sizes (thousands, not millions, of records), XGBoost consistently outperformed neural networks in our experiments. The neural...
Real AI agent examples across healthcare, revenue cycle, finance, procurement, sales, and IT, each with the problem it solves and the measured result...
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